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Building a School Where AI Models Learn About Humanity

AI & I by Every · 2026-06-24

Speaker 1 | 00:00 - 00:17
We are building this kind of school for AGI where AI models come to learn about humanity, where we teach them how to run the world. It almost seems like there’s nothing that humans can do that AI won’t soon be capable of. I could see it happening within ten to five years.

Speaker 2 | 00:17 - 00:50
AI may be able to do it better than us, but, like, someone told the AI to go do that. They’re being built to be means to tasks that humans want them to do. Right? Every is the only subscription you need to stay at the edge of AI. If you care about being on top of the latest…

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Swyx (@swyx)

  • imo this is the most impt part of anthropic’s J-space paper today. it’s a two-parter:
  1. ant proved that they can do “brain surgery” interventions into reasoning to change topics midstream*
  2. THE MODEL IS ABLE TO DETECT WHAT INTERVENTION WAS DONE - close cousin to eval awareness**

*control > correlation - this convincingly demonstrates understanding

**this was prompted awareness… surely @mlpowered’s team also tried to eval unprompted awareness but i didn’t see evidence of that [130 ❤️ 7 🔄]

Boris Cherny (@bcherny)

  • This is our first time telling the story of how we first built and launched Claude Code, starting with its origins in Anthropic safety research.

So much more to do. We are 1% done. [2513 ❤️ 171 🔄]

Thibault Sottiaux (@thsottiaux)

  • [4509 ❤️ 126 🔄]
  • Closing this week. Much of the teams building ChatGPT, Codex and OpenClaw will be there and we’ll have a few surprises for folks. Hope to see many of you 👀 [1970 ❤️ 49 🔄]

Peter Yang (@petergyang)

  • Ughhhhhhh [5 ❤️]
  • Go USA!!! [12 ❤️]
  • Fable 5 will leave Claude subscriptions tomorrow at midnight. Here are 5 use cases worth trying before then, with prompts you can copy and paste:

  1. FIND FABLE-WORTHY WORK
    You’re Fable 5, the most capable model available. Look through my projects, docs, and your memory, and list the top 5 tasks genuinely worth running on you. Rank them with a one-line reason each. Don’t do the work yet.

  2. GET LIFE & BUSINESS ADVICE
    You’re my business advisor. Read my plan doc and pull live data from my connected tools. Write a one-page assessment of my business and the top 3 things to focus on for the next 3 months, plus what to drop and why.

  3. MAKE YOUR PROJECT SHIP-READY
    I’m about to ship this project. Find everything wrong with it first. Read the whole codebase and hunt for real bugs, broken edge cases, and anything that’ll break in front of a user. List each issue with how to reproduce it and the fix. Hold a high bar.

  4. PLAN THE NEXT BIG THING
    I want to plan a big project: [describe it]. Don’t build yet. Lay out the full plan: phases, key decisions, risks, and open questions. Flag anything that could sink it, and make it clear enough that a cheaper model could execute step by step.

  5. REFACTOR YOUR AI SKILLS
    Refactor my AI skill system. Read all my skills, map where they overlap or conflict, then clean them up: tighten workflows, cut bloat, and standardize structure. Keep each skill working and check in at major milestones.

📌 Watch my tutorial for a live demo of all 5 use cases: [340 ❤️ 20 🔄]

Nan Yu (@thenanyu)

  • Yeah, this resonates. I was horribly inefficient, so I brute forced a lot of stuff. The biggest difference now, even for early stage startups, is you can do way more in parallel because of agents. [3 ❤️]
  • The biggest advantage that 20-year-old me had over today me is the ability to slam unbelievable hours into work.

But looking back, those hours were mostly spent on tedious programming tasks, which are largely automated now.

996 still has uses, but it’s not as universally effective as it was. [347 ❤️ 6 🔄]

Cat Wu (@_catwu)

  • a retrospective on making claude code from our early team! [196 ❤️ 9 🔄]

Thariq (@trq212)

  • great post by @delba_oliveira [1971 ❤️ 127 🔄]
  • this is now on the Claude blog! [28 ❤️ 2 🔄]
  • to be specific the date/time is will be 11:59:59pm PT on 7/7 [64 ❤️ 5 🔄]

Amjad Masad (@amasad)

  • Major inflection point around the time of the brief bear market fall of last year. [48 ❤️]
  • Atlanta-based real estate company saved $100k by replacing Salesforce with their Replit-built CRM. [1487 ❤️ 92 🔄]
  • Many are asking how Replit is improving so rapidly—we closed the loop and the agent is self-improving.

Technical details here: [1244 ❤️ 76 🔄]

Guillermo Rauch (@rauchg)

  • Update: 🇪🇸 ESP - 🇦🇷 ARG final.

The legendary Spanish team will avenge team USA with a decisive defeat of 🇧🇪. [414 ❤️ 7 🔄]

  • 🆒 eve evals itself with 𝚎𝚟𝚎 𝚎𝚟𝚊𝚕.

Web frameworks made testing an ecosystem choice. e.g.: React didn’t ship with a built-in testing solution.

For agents, evals are essential… thus we ship 𝚎𝚟𝚎 𝚎𝚟𝚊𝚕 out of the box. For your agents and eve’s own evolution. [285 ❤️ 9 🔄]

  • The ultimate test for coding AI: is software as a whole getting better? Are companies shipping faster? Do you now have apps and games you couldn’t even dream of before? Is the software you’re getting bug-free?

For me: my own ability to influence my productivity has radically increased. I feel a level of agency and autonomy I never had before. I’m free to create and execute. I can communicate a vision with my colleagues instantly. Personal software is real and a big win, I have a bunch of web tools and macOS apps I wrote just for myself.

For Vercel: it’s been amazing to see our CTO @cramforce bring novel software to life with swaths of agents. Genuinely useful software that’s having an impact industry-wide emerged nearly autonomously ( That’s just an example. Our PM team ships software and fixes bugs. Our junior engineers and interns ship quality software at scale. On a personal note, AI at my fingertips, as CLI or v0, allows me to keep up with all the product updates. I can build demos, apps and benchmarks on top of @vercel as new products go out.

But the ultimate jury is that people should love our products, expand their usage, refer their friends and colleagues to the platform. So far that tracks well, and it’s the main metric I watch (and obviously we take token costs seriously, just like any other infrastructure spend… there isn’t and has never been a proclamation to “tokenmaxxx”). [372 ❤️ 18 🔄]

Aaron Levie (@levie)

  • Great post on how to think about open source AI and the applied AI layer. Two things will always be true in AI. Frontier intelligence will likely remain at the forefront of solving brand new used cases and often be used for orchestrating and planning of any type of complex workflow.

At the same time, as use-cases become mature and predictable in an enterprise context, you can begin to peel off some set of the tokens to either lower cost open or closed models or models that are trained for the task at hand.

Doing this too early in the adoption curve of any new use-case doesn’t make sense as you don’t know what you’re optimizing for, which is why there will always be a bit of a lag here.

This process can essentially run on forever as there is no end for both the benefits of frontier intelligence or tuned models. This is why the spend and token volume for both approaches will continue to go up for years to come as we’re still early on both.

Again, the only reason this dynamic is possible though is because of the applied AI layer that can effectively eval their workflows in a specific domain, choose a mixture of models to solve tasks, and have enough scale to eventually train their own models for their purposes. [323 ❤️ 34 🔄]

Garry Tan (@garrytan)

  • This is how media is a bludgeon for an entrenched class of doom loop politicians

They want their doom loop politician Gary McCoy in at any cost and will lie, cheat and steal to do it

And legacy media does nothing to stop it

Pure sociopathy [50 ❤️ 1 🔄]

  • When headlines lie by omission, it says a lot about the headline writers in a news room [87 ❤️ 3 🔄]
  • Oakland will continue to be a case study in virtue signal policies by ideologies that don’t work

The city will continue to crumble until the common sense and business forces unite to vote smarter [324 ❤️ 16 🔄]

Zara Zhang (@zarazhangrui)

  • @aiDotEngineer @cursor_ai Also don’t be constrained by your titles/roles. Even though I’m not an engineer/designer by training, I find the Cursor/AI Engineer/Config talks SO helpful. Everyone is an engineer and a PM and a designer now [14 ❤️ 1 🔄]

  • If you wanna level up as an AI builder, binge watch the talks from these 3 conferences (all freshly wrapped). You can literally learn from the best in the field from the comfort of your home.

  • AI Engineer @aiDotEngineer

  • Cursor Compile @cursor_ai

  • Figma Config

It’s crazy that all of this high-quality knowledge is freely shared on the Internet (the tickets to these conferences often cost hundreds of dollars), and I’m surprised that most of these videos only get tens of thousands of views. High-quality conference talks are massively, massively underrated!

Watching on YouTube is also arguably a better experience than attending in person: no bad audio, no crowd blocking the screen, no distractions, and you can pause to take notes [535 ❤️ 68 🔄]

  • Great talk! Really enjoyed this [62 ❤️ 4 🔄]

Nikunj Kothari (@nikunj)

  • When you ask a founder what “me and the boys” means when they talked about their 4th of July weekend plans.. [59 ❤️ 3 🔄]
  • VCs: this job is investing in outliers.

Also VC: here’s our revolutionary sourcing algorithm, custom built by our in house team, RLed on decades of data, with proprietary data signals from the moment someone is born.

This job is very weird where there is so much serendipity and luck involved in how you stumbled upon an investment. However, it does take a lot of conviction and if you have years of bets where you have been right, then you aren’t simply “lucky”.

Returns are the only alpha.. but those take time and so we tend to resort to random metrics to prove how we’re different from the next VC.

The unscientific way I have tried to play this game is by massively expanding my surface of luck to try to find these outliers generally and having a prepared mind for 3-4 areas that are 6-12 months early where I can meet every entrepreneur.

Time will only tell if this works! [100 ❤️ 1 🔄]

Peter Steinberger (@steipete)

  • You don’t wanna miss this. Signup closes this week.

Will be there and share some claws and tokens 🦞 [54 ❤️ 2 🔄]

  • How do folks run AI-assisted engineering interviews these days? [203 ❤️ 3 🔄]
  • We been cooking, by the time this went through review main again is materially better 🥲 [344 ❤️ 7 🔄]

Dan Shipper (@danshipper)

  • the gremlins have arrived in fable [52 ❤️ 1 🔄]
  • interestingly, this holds true for how you use models too

should you use fable to take a big expensive swing? or play small ball to grind your way up the hill? [161 ❤️ 8 🔄]

Claude (@claudeai)

  • We’ve put together a short history of how Claude Code came to be, told by the people who built it and the early users who helped make it what it is today. [2959 ❤️ 314 🔄]

由 Follow Builders 自动生成 · 2026-07-07